Dean Ball, author of Hyperdimensional and until now a senior fellow at the Foundation for American Innovation, joins Nathan to announce he is joining OpenAI to build a team focused on frontier AI policy. They examine the first year of America’s AI Action Plan, Dean’s concerns about export controls and intelligence-community testing, and his broader argument against concentrating frontier AI decisions inside a small circle of government officials. The episode frames frontier labs as emerging centers of political and economic power, where consequential choices about internal deployments and recursive self-improvement may happen before public release or regulation. The stakes are who gets to shape AI governance as capabilities accelerate: federal agencies, states, labs, independent verifiers, households, or some fragile mix of them all.
For full show notes, links, and references, read the episode page:
https://www.cognitiverevolution.ai/dean-ball-on-joining-openai-new-power-centers-frontier-ai-policy-main-character-energy/
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This year-end live show features nine rapid-fire conversations to make sense of AI’s 2025 and what might define 2026. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. New York Assemblymember Alex Boris breaks down the RAISE Act's bid to curb catastrophic AI risks, the governor negotiations, and why a16z-backed ads are targeting him. Former White House AI adviser Dean Ball maps the emerging coalitions on AI, federal preemption, and what fast-improving coding agents could mean for policy and jobs. Forecaster Peter Wildeford debates selling vs "renting" chips to China and offers a 2026 outlook on agents, costs, and robotics. Recorded live as part of our AI 2025→2026 series (Part 2).
Sponsors:
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CHAPTERS:
(00:00) Sponsor: Gemini 3 in Google AI Studio
(00:31) RAISE Act status
(04:52) Catastrophic risk focus
(10:47) Super PAC backlash
(16:17) Data centers and grid
(19:47) Palantir and surveillance
(23:42) Dean Ball joins (Part 1)
(23:46) Sponsors: MATS | Framer
(27:05) Dean Ball joins (Part 2)
(32:00) Social media lessons
(36:22) Trump preemption and chips (Part 1)
(40:51) Sponsors: Shopify | Tasklet
(43:59) Trump preemption and chips (Part 2)
(44:50) Structural US-China decoupling
(49:39) Peter on chip ban
(55:43) Threat model and renting
(01:02:55) Cost drops, revenue
(01:16:03) Forecasting paradigm shifts
(01:20:38) 2026 agents and robots
(01:31:41) Show wrap and markets
(01:42:28) Outro
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Max Tegmark and Dean Ball debate whether we should ban the development of superintelligence in a crossover episode from Doom Debates hosted by Liron Shapira. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. They unpack the Future of Life Institute's call for a moratorium until there is broad scientific consensus and public buy-in, contrasting Tegmark’s precautionary stance with Dean’s emphasis on experimentation, competition, and practical policy hurdles. Listeners will get clear takes on p(doom), the limits of FDA-style regulation, unilateral ban risks, and what safe, beneficial advanced AI might realistically look like.
LINKS:
AMA episode feedback survey form
Doom Debates Substack newsletter
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Tasklet:
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Shopify:
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CHAPTERS:
(00:00) About the Episode
(05:43) Cold open and intro
(09:21) Opening statements: ban debate (Part 1)
(14:49) Sponsors: Framer | Agents of Scale
(17:11) Opening statements: ban debate (Part 2)
(17:11) Licensing-style AI regulation
(26:52) Liability, tail risks (Part 1)
(33:24) Sponsors: Tasklet | Shopify
(36:32) Liability, tail risks (Part 2)
(39:23) Timelines and precautionary regulation
(47:03) Defining superintelligence and risk
(52:26) Risk-based safety standards
(56:28) Current regulations and definitions
(01:05:23) Max's doom scenario
(01:19:46) P-doom gap and adaptation
(01:34:40) National security and China
(01:43:57) Closing statements and reflections
(01:55:22) Host debrief and outro
(02:02:10) Outro
This week, we talk about Google’s new plan to build data centers in space. Then, we’re joined by Dean Ball, a former adviser at the White House Office of Science and Technology Policy. Ball worked on the Trump administration’s A.I. Action Plan, and he shares his inside view on how those policies came together. Finally, Professor Mark Humphries joins us to talk about a strange Gemini model that offered mind-blowing results on a challenging research problem.
Guests:
Dean Ball, senior fellow at the Foundation for American Innovation and former White House senior policy adviser for artificial intelligence and emerging technology
Mark Humphries, professor of history at Wilfrid Laurier University
Additional Reading:
Towards a Future Space-Based, Highly Scalable A.I. Infrastructure System Design
What It's Like to Work at the White House
Has Google Quietly Solved Two of AI’s Oldest Problems?
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Dive into the nuanced debate over California's SB 1047 AI legislation with Nathan Calvin, Dean Ball, and Steve Newman. Our expert panel discussion explores the bill's intent, dispels misconceptions, and debates its potential impact on technology and regulation. Learn about AI's tail risks, the role of government, and hear suggestions for improving the legislation. Share your thoughts and join the conversation around shaping a positive AI future.
You can reach out and share your thoughts by using the contact form here : https://www.cognitiverevolution.ai/contact/
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SPONSORS:
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CHAPTERS:
(00:00:00) Introduction
(00:05:45) Opinions
(00:11:57) The Bill
(00:17:05) Elevated discussion
(00:18:51) Sponsors: Brave | Omneky
(00:20:18) AI Doctor
(00:22:55) Centralized Regulator
(00:26:29) SB 1047
(00:27:47) Critical infrastructure
(00:31:51) Should we regulate?
(00:39:00) Sponsors: Squad
(00:40:28) Safety standards for training
(00:46:09) What is 10^26 flops?
(00:52:10) Regulating general purpose technology
(00:53:42) AI regulation
(00:58:31) Societal adaptation
(01:01:18) AI safety
(01:04:20) AI regulations
(01:07:19) The current state of the industry
(01:10:08) What industry wants changed
(01:25:42) Safety is hard to legislate
(01:33:06) How to decide the trajectory of AI?
(01:45:52) Testing, Transparency, Whistleblower Provision
(01:55:17) Closing thoughts